Course description

EN2401 - Image and Video Processing

6 ECTS credits, Period 2

Master-level course on image and video processing.

The course is given in English.

Description

This course provides an introduction to principles of digital image and video processing. After passing this course, participants should be able to use point operations, choose appropriate color spaces, perform basic image segmentation and image filtering, implement multiresolution and image matching techniques, video filters, and basic algorithms for image and video compression. Course projects will help students to gain hands-on experience.

Syllabus

Fundamentals of image processing: vision, physics of light, image acquisition by sensors, image sampling and quantization. Spatial and frequency-domain based image enhancement. Image restoration: degradation models and noise models, spatial filtering methods, model estimation. Color image processing: color models, color transformations, color enhancement, color segmentation. Multi-resolution processing and wavelets. Image and video compression fundamentals: lossy and lossless compression, motion estimation, image and video coding standards.

Time

The course is given during period 2

Lectures: 24h, tutorials: 24h

Prerequisites

EQ1220 Signal Theory or equivalent

Course requirements

Preparation assignments, course projects, written examination.

Grading

All preparation assignments have to be handed in (pass/fail). Each project is graded and points are assigned. To pass the course and get a final grade, you need to pass all preparation assignments and collect sufficient points on the projects and the final exam.

Course material

R. C. Gonzales and R.E. Woods. Digital Image Processing, (third ed.), Prentice Hall, Upper Saddle River, New Jersey, 2008. The book is available from Kårbokhandeln.